Description

The Universal Investment Strategy (UIS) is one of our core investment strategies. It is an evolved, intelligent version of the classic 60/40 equity/bond portfolio. Much like the classic portfolio, UIS holds both the S&P 500 index and bonds. However, UIS can intelligently adapt to current conditions by shifting weight away from stocks in difficult markets and adding weight in bullish markets.

Instead of using simple bond ETF, UIS uses a sub-strategy, called HEDGE, which can choose between different types of safe-heaven ETFs.

The equity/bond (or in our case equity/HEDGE) pair is interesting because most of the time these two asset classes profit from an inverse correlation. If there is a real stock market correction, usually ETFs included in the HEDGE strategy (Treasuries, Gold, etc) are the 'safe' assets where money flows to, providing crash protection. 

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Using this definition on our asset we see for example:
  • The total return, or increase in value over 5 years of Universal Investment Strategy is 64.5%, which is smaller, thus worse compared to the benchmark SPY (86.2%) in the same period.
  • During the last 3 years, the total return is 57.5%, which is smaller, thus worse than the value of 78.3% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • The compounded annual growth rate (CAGR) over 5 years of Universal Investment Strategy is 10.5%, which is lower, thus worse compared to the benchmark SPY (13.3%) in the same period.
  • Looking at annual return (CAGR) in of 16.4% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (21.4%).

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the 30 days standard deviation of 8.8% of Universal Investment Strategy is lower, thus better.
  • During the last 3 years, the 30 days standard deviation is 8.7%, which is smaller, thus better than the value of 15.2% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:
  • The downside risk over 5 years of Universal Investment Strategy is 6.1%, which is lower, thus better compared to the benchmark SPY (11.8%) in the same period.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside volatility of 5.9% is lower, thus better.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Universal Investment Strategy is 0.91, which is larger, thus better compared to the benchmark SPY (0.63) in the same period.
  • During the last 3 years, the Sharpe Ratio is 1.59, which is greater, thus better than the value of 1.24 from the benchmark.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 1.32 in the last 5 years of Universal Investment Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.91)
  • Compared with SPY (1.85) in the period of the last 3 years, the excess return divided by the downside deviation of 2.36 is larger, thus better.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Using this definition on our asset we see for example:
  • The Ulcer Ratio over 5 years of Universal Investment Strategy is 4.39 , which is smaller, thus better compared to the benchmark SPY (8.45 ) in the same period.
  • During the last 3 years, the Downside risk index is 1.75 , which is smaller, thus better than the value of 3.51 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -12.2 days of Universal Investment Strategy is greater, thus better.
  • During the last 3 years, the maximum drop from peak to valley is -7.5 days, which is higher, thus better than the value of -18.8 days from the benchmark.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 489 days of Universal Investment Strategy is higher, thus worse.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days under water of 92 days is larger, thus worse.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Applying this definition to our asset in some examples:
  • Looking at the average days below previous high of 121 days in the last 5 years of Universal Investment Strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (120 days)
  • Compared with SPY (20 days) in the period of the last 3 years, the average time in days below previous high water mark of 19 days is smaller, thus better.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Universal Investment Strategy are hypothetical and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.